A Hybrid Logistic Model for Case-Control Studies

Tuhao Chen, Fred M. Hoppe, Satish Iyengar and David Brent
Additional contact information
Tuhao Chen: Bowling Green State University
Fred M. Hoppe: McMaster University
Satish Iyengar: University of Pittsburgh
David Brent: University of Pittsburgh

Methodology and Computing in Applied Probability, 2003, vol. 5, issue 4, 419-426

Abstract: Abstract For logistic regression in case-control studies, when risk factors associated with the outcome are exceedingly rare in the control group, the estimation of parameters in the model becomes difficult. In this paper, we propose a two-stage hybrid method to achieve this. In the first stage, we model the risk due to the rare factor, and in the second stage we model the residual risk due to the other factors using standard logistic model.

Keywords: logistic regression; maximum likelihood estimation; case-control study; child and adolescent suicide (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (1)

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DOI: 10.1023/A:1026281328835

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